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 Objetives
The Biostatistics Platform is a pioneer in the field of support for research in hospitals and performs work that is recognized by the vast majority of professionals who, for several decades, have requested statistical advice to carry out their research work or for other studies with immediate application to healthcare practice.
That is why the Biostatistics Platform aims to provide high-quality support to research. To do this, it provides support in the fields of Statistics and Data Processing to IdiPAZ professionals, hospital staff and external companies, in all types of clinical research studies.
In addition, own research is developed
Composition
Director:
Alberto M. Borobia. MD, PhD
Clinical biostatistics:
Itsaso Losantos García
itsaso.losantos@salud.madrid.org
Tfno: 442617
Odelaisy León Triana Molab
Clinical Epidemiologist:
Jesús Díez Sebastián. MD, PhD.
jdiezs@salud.madrid.org
Tfno: 447570
Data managers:
Contact:
Documentation
The request for services to the Statistics Platform must be made through the following application form, accessible exclusively from computers located in the institution:
Portfolio of Services/Prices Biostatistics
Portfolio of Services/Prices Bioinformatics
1. Experimental design. Advice to decide the sample size, the design of the study and the planning of the methodology.
2. Data analysis. The bioinformatics processing of the data obtained is carried out in various high-performance technological platforms used in the field of genomics. These analyses include normalization, statistical analysis, and representation of the results. The most common analyses are:
Differential expression of genes, miRNAs or lncRNAs. The technology of origin of the experiments can be microarrays (Affymetrix, Agilent) or RNA-seq (Illumina, Ion Torrent):
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Protein-DNA interactions from immunuprecipitation and microarray (ChIP-chip) or sequencing (ChIP-seq) experiments.
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Helps to interpret results. Once the genes of interest have been selected, biological-functional assignment studies are carried out, such as the study of functional enrichment of gene / protein lists.
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Design, implementation and administration of databases (eg of patients, samples, etc.).
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Individualized training activities: Training for users (scientific / technical) in the main theoretical and practical foundations for handling results and their interpretation.
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